#python #arrays #json #string
#python #массивы #json #строка
Вопрос:
У меня есть data_request.json
файл JSON:
[
{
"replaceAllText": {
"containsText": {
"text": "{{project_name}}",
"matchCase": "True"
},
"replaceText": "replaced['host']"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{company}}",
"matchCase": "True"
},
"replaceText": "replaced['company']"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{from_date}}",
"matchCase": "True"
},
"replaceText": "replaced['between_dates'][0]"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{to_date}}",
"matchCase": "True"
},
"replaceText": "replaced['between_dates'][1]"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{report_created_date}}",
"matchCase": "True"
},
"replaceText": "replaced['current_date']"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{sla_overall}}",
"matchCase": "True"
},
"replaceText": "replaced['sla']"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{total_tickets}}",
"matchCase": "True"
},
"replaceText": "replaced['total_tickets']"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{total_open_problems}}",
"matchCase": "True"
},
"replaceText": "replaced['count_open_issues']"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{service1_name}}",
"matchCase": "True"
},
"replaceText": "replaced['report_by_sla']['average']"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{service2_name}}",
"matchCase": "True"
},
"replaceText": "replaced['report_by_sla']['test']"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{service3_name}}",
"matchCase": "True"
},
"replaceText": "replaced['report_by_sla']['down']"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{service_sla_goal}}",
"matchCase": "True"
},
"replaceText": "replaced['report_by_sla']['goal']"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{service1_url}}",
"matchCase": "True"
},
"replaceText": "replaced['host']"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{service1_url_response_time}}",
"matchCase": "True"
},
"replaceText": "replaced['url_response']"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{service1_url_response_time_goal}}",
"matchCase": "True"
},
"replaceText": "self.url_response_time_goal"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{current_issue_time}}",
"matchCase": "True"
},
"replaceText": "str(datetime.fromtimestamp(try_last_change))"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{current_issue_severity}}",
"matchCase": "True"
},
"replaceText": "await match_priority(try_priority)"
}
},
{
"replaceAllText": {
"containsText": {
"text": "{{current_issue_description}}",
"matchCase": "True"
},
"replaceText": "str(try_description)"
}
}
]
Код Python:
with open("data_request.json", "r") as json_data:
data = load(json_data)
empty_list: list = []
for element in data:
# Step 1: Got all values from JSON
all_elements: str = element["replaceAllText"]["replaceText"]
print(all_elements)
# Step 2: Trying append to `list()`.
empty_list.append(all_elements)
print(empty_list)
Стандартный вывод с шага 1:
replaced['host']
replaced['company']
replaced['between_dates'][0]
replaced['between_dates'][1]
replaced['current_date']
replaced['sla']
replaced['total_tickets']
replaced['count_open_issues']
replaced['report_by_sla']['average']
replaced['report_by_sla']['test']
replaced['report_by_sla']['down']
replaced['report_by_sla']['goal']
replaced['host']
replaced['url_response']
self.url_response_time_goal
str(datetime.fromtimestamp(try_last_change))
await match_priority(try_priority)
str(try_description)
Стандартный вывод с шага 2:
["replaced['host']"]
["replaced['host']", "replaced['company']"]
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]"]
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]"]
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']"]
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']", "replaced['sla']"]
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']", "replaced['sla']", "replaced['total_tickets']"]
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']", "replaced['sla']", "replaced['total_tickets']", "replaced['count_open_issues']"]
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']", "replaced['sla']", "replaced['total_tickets']", "replaced['count_open_issues']", "replaced['report_by_sla']['average']"]
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']", "replaced['sla']", "replaced['total_tickets']", "replaced['count_open_issues']", "replaced['report_by_sla']['average']", "replaced['report_by_sla']['test']"]
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']", "replaced['sla']", "replaced['total_tickets']", "replaced['count_open_issues']", "replaced['report_by_sla']['average']", "replaced['report_by_sla']['test']", "replaced['report_by_sla']['down']"]
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']", "replaced['sla']", "replaced['total_tickets']", "replaced['count_open_issues']", "replaced['report_by_sla']['average']", "replaced['report_by_sla']['test']", "replaced['report_by_sla']['down']", "replaced['report_by_sla']['goal']"]
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']", "replaced['sla']", "replaced['total_tickets']", "replaced['count_open_issues']", "replaced['report_by_sla']['average']", "replaced['report_by_sla']['test']", "replaced['report_by_sla']['down']", "replaced['report_by_sla']['goal']", "replaced['host']"]
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']", "replaced['sla']", "replaced['total_tickets']", "replaced['count_open_issues']", "replaced['report_by_sla']['average']", "replaced['report_by_sla']['test']", "replaced['report_by_sla']['down']", "replaced['report_by_sla']['goal']", "replaced['host']", "replaced['url_response']"]
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']", "replaced['sla']", "replaced['total_tickets']", "replaced['count_open_issues']", "replaced['report_by_sla']['average']", "replaced['report_by_sla']['test']", "replaced['report_by_sla']['down']", "replaced['report_by_sla']['goal']", "replaced['host']", "replaced['url_response']", 'self.url_response_time_goal']
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']", "replaced['sla']", "replaced['total_tickets']", "replaced['count_open_issues']", "replaced['report_by_sla']['average']", "replaced['report_by_sla']['test']", "replaced['report_by_sla']['down']", "replaced['report_by_sla']['goal']", "replaced['host']", "replaced['url_response']", 'self.url_response_time_goal', 'str(datetime.fromtimestamp(try_last_change))']
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']", "replaced['sla']", "replaced['total_tickets']", "replaced['count_open_issues']", "replaced['report_by_sla']['average']", "replaced['report_by_sla']['test']", "replaced['report_by_sla']['down']", "replaced['report_by_sla']['goal']", "replaced['host']", "replaced['url_response']", 'self.url_response_time_goal', 'str(datetime.fromtimestamp(try_last_change))', 'await match_priority(try_priority)']
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']", "replaced['sla']", "replaced['total_tickets']", "replaced['count_open_issues']", "replaced['report_by_sla']['average']", "replaced['report_by_sla']['test']", "replaced['report_by_sla']['down']", "replaced['report_by_sla']['goal']", "replaced['host']", "replaced['url_response']", 'self.url_response_time_goal', 'str(datetime.fromtimestamp(try_last_change))', 'await match_priority(try_priority)', 'str(try_description)']
Как мне получить все значения и добавить их в массив? Я имею в виду получить только последние значения:
["replaced['host']", "replaced['company']", "replaced['between_dates'][0]", "replaced['between_dates'][1]", "replaced['current_date']", "replaced['sla']", "replaced['total_tickets']", "replaced['count_open_issues']", "replaced['report_by_sla']['average']", "replaced['report_by_sla']['test']", "replaced['report_by_sla']['down']", "replaced['report_by_sla']['goal']", "replaced['host']", "replaced['url_response']", 'self.url_response_time_goal', 'str(datetime.fromtimestamp(try_last_change))', 'await match_priority(try_priority)', 'str(try_description)']
Когда я обращаюсь к первому индексу, я получаю следующее:
print(empty_list[0])
replaced['host']
replaced['host']
replaced['host']
replaced['host']
replaced['host']
replaced['host']
replaced['host']
replaced['host']
replaced['host']
replaced['host']
replaced['host']
replaced['host']
replaced['host']
replaced['host']
replaced['host']
replaced['host']
replaced['host']
replaced['host']
Ответ №1:
import json
with open("data_request.txt", "r") as json_data:
data = json.load(json_data)
all_replace_text = [item["replaceAllText"]["replaceText"] for item in data]